| 引用本文: | 张游,潘福全,张丽霞,杨晓霞,陈秀锋,李昕光.车路协同环境下智能交叉口车速控制[J].控制理论与应用,2022,39(6):1057~1064.[点击复制] |
| ZHANG You,PAN Fu-quan,ZHANG Li-xia,YANG Xiao-xia,CHEN Xiu-feng,LI Xin-guang.Speed control for intelligent intersection under vehicle-infrastructure cooperative environment[J].Control Theory and Technology,2022,39(6):1057~1064.[点击复制] |
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| 车路协同环境下智能交叉口车速控制 |
| Speed control for intelligent intersection under vehicle-infrastructure cooperative environment |
| 摘要点击 1138 全文点击 427 投稿时间：2021-07-09 修订日期：2022-05-30 |
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| DOI编号 10.7641/CTA.2021.10606 |
| 2022,39(6):1057-1064 |
| 中文关键词 车路协同 时空间隙 交叉口 智能控制 最优安全速度 |
| 英文关键词 vehicle-infrastructure cooperation space-time gap intersection intelligent control optimal safe speed |
| 基金项目 山东省自然科学基金项目(ZR2020MG021), 教育部人文社会科学研究规划基金项目(18YJAZH067), 国家自然科学基金项目(62003182)资助. |
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| 中文摘要 |
| 传统信号控制交叉口通过相位禁行方式来解决交通冲突,导致交叉口时空资源利用率低, 延误增加. 为提高
车路协同环境下的交叉口通行效率, 本文提出了一种基于时空间隙动态分配的智能交叉口车速控制方法, 对交叉口
车辆通行时间进行归一处理, 建立了车辆跟驰控制模型和冲突避碰模型, 使车辆能够根据交叉口控制区域内的实时
路况信息预先进行速度调整, 达到不停车通过交叉口的最优安全速度. 运用VISSIM和MATLAB联合搭建仿真运行
环境, 分别在600 pcu/ h, 1200 pcu/h和1800 pcu/ h交通流量条件下, 对智能控制和传统控制交叉口的控制
效益进行评价对比, 结果表明: 该智能控制方法均能够有效缩短交叉口车辆延误, 减少车辆油耗和各类污染物的排
放, 且交通流量越高, 改善效果越明显. |
| 英文摘要 |
| The traditional signal-controlled intersections resolve traffic conflicts by phase prohibitions, which leads to
low utilization of intersection space-time resources and increased delays. In order to improve the traffic efficiency of intersection
under vehicle-infrastructure cooperative environment, the paper proposes an intelligent intersection speed control
method based on the dynamic allocation of space-time gaps. By normalizing the vehicle passage time at intersection, a
vehicle following control model and a conflict avoidance model are established, so that the vehicles can make speed adjustments
in advance according to the real-time road condition information in the intersection control area, so as to achieve the
optimal safe speed for crossing the intersection without stopping. Using VISSIM and MATLAB to build simulation environment,
the control benefits of intelligent control and traditional control intersections are evaluated and compared under
the traffic flow conditions of 600 pcu/h, 1200 pcu/h and 1800 pcu/h respectively. The results show that the
intelligent control method can effectively shorten the vehicle delays at intersection, reduce vehicle fuel consumption and
emissions of various pollutants, and the higher the traffic flow is, the more obvious the improvement effect is. |
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